Spatial-temporal Variations in Vegetation and their Driving Factors in the Amur River Basin

S. Zhou, Wc Zhang
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Abstract

In the past decades, the Amur River Basin has experienced complex regional fluctuations and strong spatial heterogeneity in vegetation. In this study, the spatial-temporal variations in vegetation and their driving factors in the basin were investigated using GIMMS NDVI data over 1982–2013, and MODIS NDVI/EVI and NPP product from 2002 to 2013. A Mann- Kendall trend test were applied to investigate the sustainability and trends of NDVI in this basin. In addition, linear regression trend was applied to analyze spatial distribution of the NDVI, EVI and NPP trends over the period 2002–2013. For further assessment of the driving factors of vegetation, the impacts of individual climatic factors or changes of each land use type on vegetation were analyzed using PLSR and RR based on long-term meteorological data and annual time-series of land use. The relationship between vegetation and hydrological components were also assessed using SWAT hydrological process simulation results.
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阿穆尔河流域植被时空变化及其驱动因素
近几十年来,阿穆尔河流域植被经历了复杂的区域波动和强烈的空间异质性。利用1982—2013年GIMMS NDVI数据和2002—2013年MODIS NDVI/EVI和NPP产品,研究了流域植被时空变化及其驱动因素。采用Mann- Kendall趋势检验对该流域NDVI的可持续性和变化趋势进行了研究。此外,利用线性回归趋势分析了2002-2013年NDVI、EVI和NPP的空间分布趋势。为了进一步评估植被驱动因子,基于长期气象资料和土地利用年际时间序列,利用PLSR和RR分析了各气候因子或各土地利用类型变化对植被的影响。利用SWAT水文过程模拟结果评价了植被与水文组分之间的关系。
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